| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1170 | 2022 |
| Harms from increasingly agentic algorithmic systems A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 65 | 2023 |
| Rethink reporting of evaluation results in AI R Burnell, W Schellaert, J Burden, TD Ullman, F Martinez-Plumed, ... Science 380 (6641), 136-138, 2023 | 60 | 2023 |
| Safe reinforcement learning for sepsis treatment Y Jia, J Burden, T Lawton, I Habli 2020 IEEE International conference on healthcare informatics (ICHI), 1-7, 2020 | 28 | 2020 |
| Safety-driven design of machine learning for sepsis treatment Y Jia, T Lawton, J Burden, J McDermid, I Habli Journal of Biomedical Informatics 117, 103762, 2021 | 16 | 2021 |
| Exploring AI safety in degrees: generality, capability and control J Burden, J Hernández-Orallo Proceedings of the workshop on artificial intelligence safety (safeai 2020 …, 2020 | 14 | 2020 |
| How general-purpose is a language model? Usefulness and safety with human prompters in the wild PAM Casares, BS Loe, J Burden, J Hernández-Orallo Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5295-5303, 2022 | 9 | 2022 |
| Your prompt is my command: on assessing the human-centred generality of multimodal models W Schellaert, F Martínez-Plumed, K Vold, J Burden, PAM Casares, ... Journal of Artificial Intelligence Research 77, 377-394, 2023 | 6 | 2023 |
| Evaluating AI evaluation: Perils and prospects J Burden arXiv preprint arXiv:2407.09221, 2024 | 5 | 2024 |
| An international consortium for evaluations of societal-scale risks from advanced AI R Gruetzemacher, A Chan, K Frazier, C Manning, Š Los, J Fox, ... arXiv preprint arXiv:2310.14455, 2023 | 5 | 2023 |
| Inferring Capabilities from Task Performance with Bayesian Triangulation J Burden, K Voudouris, R Burnell, D Rutar, L Cheke, J Hernández-Orallo arXiv preprint arXiv:2309.11975, 2023 | 5 | 2023 |
| Evaluating object permanence in embodied agents using the animal-ai environment K Voudouris, N Donnelly, D Rutar, R Burnell, J Burden, ... https://ceur-ws. org/Vol-3169/paper2. pdf, 2022 | 5 | 2022 |
| Not a Number: Identifying Instance Features for Capability-Oriented Evaluation R Burnell, J Burden, D Rutar, K Voudouris, L Cheke, J Hernández-Orallo Proceedings of the Thirty-First International Joint Conference on …, 2022 | 5 | 2022 |
| Using uniform state abstractions for reward shaping with reinforcement learning J Burden, D Kudenko Workshop on adaptive learning agents (ALA) at the federated AI meeting 18, 2018 | 5 | 2018 |
| Animal-AI 3: What's New & Why You Should Care K Voudouris, I Alhas, W Schellaert, M Crosby, J Holmes, J Burden, ... arXiv preprint arXiv:2312.11414, 2023 | 4 | 2023 |
| Predictable Artificial Intelligence L Zhou, PA Moreno-Casares, F Martínez-Plumed, J Burden, R Burnell, ... arXiv preprint arXiv:2310.06167, 2023 | 3 | 2023 |
| Latent Property State Abstraction For Reinforcement learning J Burden, SK Siahroudi, D Kudenko Proceedings of the AAMAS Workshop on Adaptive Learning Agents (ALA), 2021 | 3 | 2021 |
| Uniform state abstraction for reinforcement learning J Burden, D Kudenko ECAI 2020, 1031-1038, 2020 | 3 | 2020 |
| Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's Dilemma. P Barnett, J Burden SafeAI@ AAAI, 2022 | 2 | 2022 |
| 9. From Turing’s Speculations to an Academic Discipline: A History of AI Existential Safety J Burden, S Clarke, J Whittlestone Open Book Publishers, 2023 | 1 | 2023 |
José Hernández-OralloVRAIN (UPV), ValGRAI, CFI, CSER.Verified email at upv.es
